Selected team experience
Build AI deployments that stay current and work with your employees.
Understand how your customers behave and what to do about it.
Vendor-neutral advisors. A small number of clients at a time.
Identify where AI can improve a clearly scoped business process, what implementation would require, what risks and human oversight matter, and how to measure whether the deployment is creating value.
Research-grounded workshops for leadership teams and staff on AI capabilities, human-AI work, evaluation, and decision-making — tailored to your use cases.
Independent technical assessment of AI ventures and technology claims for investors, funders, accelerators, and innovation programs.
For broader engagements that don't fit a fixed-scope assessment. We design and evaluate your AI pilot project: workflow, human oversight procedures, success metrics, and deployment planning.
How do you know whether AI is helping? We design measurement frameworks tracking productivity, quality, reliability, and return on investment.
A senior scientist embedded in your organization at a fixed fraction of full-time. We guide your AI adoption, evaluation, workflow decisions, and custom strategic work on complex AI decisions, scoped to your organization. You get an executive hire without the search or the salary. Limited to a small number of concurrent clients.
We build models to interpret your data: customer segmentation, churn prediction, lifetime value. You get named segments and quantified revenue exposure.
Which customers will change behaviour if you act? We build models that direct intervention to where it produces measurable value.
Measure incrementality so spend follows evidence. Adaptive A/B testing so you know which workflows work best and for whom.
Our core team is supported by affiliated experts across the University of Toronto and the Vector Institute.
AI & Cognitive science. University of Waterloo | MIT. Holds several NeurIPS paper awards and AI patents. Cognitive Science Society Chair 2027. Researches how biological and artificial intelligent systems reason, plan, and learn. Building machines that think.
Deep learning researcher. PhD supervised by Nobel laureate Geoffrey Hinton. Research Scientist, Google Brain. Canada CIFAR AI Chair, Vector Institute. Research across medicine, finance, education, oceans, and creative sectors. Award-winning musician.
Human-Computer Interaction, Statistics, & AI. Berkeley|Stanford|Harvard|University of Toronto. Adaptive A/B Experimentation. Won $1M XPRIZE for the future of AI-based Experimentation.